Strangler Fig Migrations: Validate Before You Cut Over
Shadow traffic testing and automatic rollback eliminate migration risk. Learn the observability-first approach that makes legacy modernization safe.
This site stores data to improve your experience. Learn more in our Consent Policy and Privacy Policy.
Strangler fig migrations, test harnesses, and moving legacy systems forward safely
Every organization has systems that predate the current team. These inherited codebases come with sparse documentation, outdated dependencies, implicit knowledge locked in the heads of engineers who left years ago, and a velocity tax that compounds over time. This category covers the practical work of modernizing legacy systems without the luxury of a ground-up rewrite.
The approach here is incremental and risk-aware. Strangler fig migrations let you extract functionality piece by piece while keeping production running. Test harness construction gives you a safety net before refactoring code you do not fully understand. Dependency upgrades on EOL runtimes require careful sequencing to avoid breaking transitive dependencies. Database schema changes demand backward-compatible migration patterns. None of this is glamorous, but it is the work that actually moves old systems forward.
Whether you are trying to add tests to code that was never designed for testability, planning a cloud migration for a .NET Framework monolith, or figuring out how to decommission a service that nobody remembers but everyone depends on, these articles draw from hands-on experience with the slow, methodical work of making legacy systems manageable.
Shadow traffic testing and automatic rollback eliminate migration risk. Learn the observability-first approach that makes legacy modernization safe.
EOL runtime upgrades stall on dependencies you don't own. Here's how to identify blockers, handle abandoned packages, and force version resolution when you're stuck.
A systematic approach to discovering unknown consumers before you decommission services. Four phases of controlled failure that surface dependencies without causing lasting damage.
Your codebase contains more reliable documentation than any wiki page. Git history, characterization tests, and targeted interviews reveal what prose documentation gets wrong.
The two techniques that make any legacy codebase testable: characterization tests and seam identification.